Omerkiraslan

Clinical AI / Medical LLM evaluation and validation via real-world cardiology case assessment

Frankfurt, Germany

Key Skills

Software

Don't disclose

Top Subject Matter

Cardiology LLM evaluation (ECG interpretation, differential diagnosis, ESC-guideline validation)

Top Data Types

Text

Top Task Types

Question Answering

Evaluation/Rating

RLHF

Red Teaming

Text Generation

Text Summarization

Freelancer Overview

Clinical AI / Medical LLM evaluation and validation via real-world cardiology case assessment. Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Doctor of Medicine, Ege University (2005) and Cardiology Residency, Istanbul University (2011). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Evaluation and Rating.

Labeling Experience

Clinical AI / Medical LLM evaluation and validation via real-world cardiology case assessment

Don't disclose

Evaluated medical LLMs using complex, real-world cardiology cases with multimodal inputs including imaging and physiological test results. Assessed AI outputs for clinical reasoning quality, safety concerns, and hallucination risk under ESC-guideline-based scenarios. • Performed evaluation of AI-generated ECG interpretation quality • Assessed AI-generated differential diagnoses against guideline-based reasoning • Conducted comparative benchmarking across AI systems for cardiology tasks • Implemented prompt engineering for complex cardiology scenarios

2023 - 2026

Education

N/A

German Approbation, Medicine

German Approbation

2022 - 2022

Istanbul University

Cardiology Residency, Medicine

Cardiology Residency

2006 - 2011

Work History

Pulmonology Practice

Specialist Physician

Wiesbaden

2025 - 2026

Klinik Fallingbostel

Physician - Cardiac Rehabilitation

Fallingbostel

2024 - 2024